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This book deals with the issue of problematic market price
prediction in the context of crowd behaviour affected by the
psychology of the masses. It highlights the contrast between a
phenomenon of mass psychology and the efficient market hypothesis,
which is essentially based on a common economic theory. The basic
assumption is that if there is a model of interaction between
masses and agents participating in markets, then there also exist
means for prediction of the whole market's behaviour, though
nevertheless the behaviour of every single agent is not
predictable. From a practical point of view, this book describes
technical analysis methods used to predict price movements, and
discusses a soft computing approach used in a composition of
automated trading systems. This book brings alternative, soft
computing computational models to trading strategies and
innovatively combines two different areas of science - artificial
intelligence and technical analysis. One of the main benefits of
this book is a demonstration that the soft computing approach in a
combination with the "soft" social sciences accounts more reliable
results than the conventional mathematical models. This book is for
anyone interested in trading, financial markets and security
exchanges, as well as for those who have theoretical or practical
knowledge from the fields of artificial intelligence and soft
computing, and want to know how these topics can be applied in
financial markets.
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